PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

21.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (22 utterances, 95 words searched).

  1. Stephanie, can you do a normal face, that's it do a normal face, no . MOT · bilingual_eng_french_Watkins/c2zan17.cha, line 37 · Christophe 6;06
  2. can you hold my hand ? CH5 · bilingual_eng_french_Watkins/c2zan17.cha, line 46 · Christophe 6;06
  1. bilingual_eng_french_Watkins/c2zan17.cha, line 37 · Christophe, 6;6.12
    CH5film me Nanny .
    GRAwell done poser .
    MOT*MOT: Stephanie, can you do a normal face, that's it do a normal face, no .
    MOTdo your funny eyes to Nanny .
    MOTshow her how you do your eyes .
  2. bilingual_eng_french_Watkins/c2zan17.cha, line 46 · Christophe, 6;6.12
    CHIwww .
    MOTwww .
    CH5*CH5: can you hold my hand ?

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Christophe bilingual_eng_french_Watkins21.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c2zan17.chaChristophe 6;6.12952221.05

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. can2 · 100.0%